{"id":"W7134686300","doi":"","title":"Malnutrition in patients with cancer : targeting patients at risk","year":2010,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Colonic disease; Risk factor; Malnutrition; Cancer cachexia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007539382,0.0003364166,0.0006957813,0.000796011,0.0005826406,0.001002863,0.0002749754,0.0005576427,0.001957308],"category_scores_gemma":[0.003410347,0.0001563733,0.0004641013,0.0008574156,0.0001968814,0.0007232392,0.001234666,0.0007829574,0.0003503417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939628,"about_ca_system_score_gemma":0.00170387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004576033,"about_ca_topic_score_gemma":0.008705634,"domain_scores_codex":[0.9996253,0.0001753159,0.00003573906,0.00004464558,0.00004483178,0.00007417837],"domain_scores_gemma":[0.9992738,0.0001627385,0.0001718134,0.00001462316,0.0001697785,0.0002073446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001775279,0.0005467115,0.7722007,0.001977879,0.0002001645,0.0004799716,0.001802217,0.0004265796,0.001632988,0.0003636319,0.006103415,0.2124905],"study_design_scores_gemma":[0.0002682349,0.003741643,0.956735,0.002447989,0.0004897587,0.001245551,0.006749034,0.001389185,0.0008555363,0.001371369,0.02463247,0.00007434612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948981,0.03131533,0.001907276,0.008254779,0.0003032323,0.0005128222,0.0007762171,0.0000476514,0.007901724],"genre_scores_gemma":[0.9733147,0.01850024,0.00375043,0.00128518,0.0002324068,0.0005727138,0.0005005411,0.00001214874,0.001831703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004576033,"threshold_uncertainty_score":0.009098768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154876837383746,"score_gpt":0.2807951316738553,"score_spread":0.2692463633000178,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}